Triple
T10380567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Nanjing Road Station |
E244626
|
entity |
| Predicate | servesCommercialDistrict |
P75875
|
FINISHED |
| Object | yes |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: yes | Statement: [East Nanjing Road Station, servesCommercialDistrict, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesCommercialDistrict Context triple: [East Nanjing Road Station, servesCommercialDistrict, yes]
-
A.
connectsToCommercialArea
chosen
Indicates that one location has a direct link, route, or access path to a commercial area.
-
B.
servesDowntownArea
Indicates that an entity provides service or coverage to the downtown area.
-
C.
hasBusinessDistrict
Indicates that a place or administrative area contains or includes a designated business district within its boundaries.
-
D.
isInBusinessDistrict
Indicates that an entity is located within a designated business or commercial district area.
-
E.
commercialArea
Indicates that the location or region is designated primarily for commercial activities such as businesses, shops, or services.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9921fa48190a874aa9a9e385b97 |
completed | April 7, 2026, 11:25 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb0e7a88190bec0b7a52c70dfe2 |
completed | April 7, 2026, 10:42 a.m. |
Created at: April 6, 2026, 12:03 p.m.